Programmer-RD-AI
diff --git a/‎out/graphs/1714418865.1454659/FastICA/Pipeline(steps=[('StandardScalar', StandardScaler()), ('FastICA', FastICA(max_iter=100, n_components=2, whiten=True))]).png
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diff --git a/‎out/graphs/1714418865.1454659/LocallyLinearEmbedding/Pipeline(steps=[('StandardScalar', StandardScaler()), ('LocallyLinearEmbedding', LocallyLinearEmbedding(method='modified', n_jobs=4, n_neighbors=10))]).png
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diff --git a/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('FastICA', FastICA(max_iter=100, n_components=2, whiten=True))]).png
632 KB b/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('FastICA', FastICA(max_iter=100, n_components=2, whiten=True))]).png
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diff --git a/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('GaussianRandomProjection', GaussianRandomProjection(eps=0.5, n_components=2))]).png
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diff --git a/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('IncrementalPCA', IncrementalPCA(n_components=2))]).png
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diff --git a/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('Isomap', Isomap(n_jobs=4))]).png
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diff --git a/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('KernelPCA', KernelPCA(fit_inverse_transform=True, kernel='cosine', n_components=2, n_jobs=-1))]).png
713 KB b/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('KernelPCA', KernelPCA(fit_inverse_transform=True, kernel='cosine', n_components=2, n_jobs=-1))]).png
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diff --git a/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('LinearDiscriminantAnalysis', LinearDiscriminantAnalysis(n_components=2))]).png
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diff --git a/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('LocallyLinearEmbedding', LocallyLinearEmbedding(method='modified', n_jobs=4, n_neighbors=10))]).png
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diff --git a/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('MiniBatchDictionaryLearning', MiniBatchDictionaryLearning(batch_size=200, n_components=2, n_iter=25))]).png
594 KB b/‎out/report/basic_visualization/Pipeline(steps=[('StandardScalar', StandardScaler()), ('MiniBatchDictionaryLearning', MiniBatchDictionaryLearning(batch_size=200, n_components=2, n_iter=25))]).png
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